Overview
Context Engine Architecture
Technical deep dive into the amorphous model architecture and implementation details
The Context Engine employs a revolutionary amorphous model architecture that provides superior performance compared to traditional Graph RAG systems through dynamic relationship mapping and intelligent pruning algorithms.
Core Architecture Components
Amorphous Model vs Graph RAG
Traditional Graph RAG systems use rigid graph structures that can be difficult to modify and optimize. The Context Engine’s amorphous model provides:- Dynamic Remorphing: Real-time relationship adjustment based on query context
- Flexible Connections: Soft and hard relationships that adapt to usage patterns
- Intelligent Pruning: Advanced algorithms that optimize graph structure automatically
- Context-Aware Search: Multi-dimensional search that considers relationship strength and relevance
System Integration Flow
Dual Interface Architecture
Both the Context UI and Background Tasks API access the same Context Engine core, ensuring consistency across all interactions:On-Device Processing Architecture
The Context Engine supports local deployment with NPU acceleration for maximum security and performance:Enterprise Integration Patterns
Financial Data Processing
The Context Engine includes specialized processing for financial data sources:Technical Specifications
Performance Characteristics
Processing Speed
Real-time context retrieval with sub-second response times
Scalability
Handles enterprise-scale document repositories (millions of documents)
Accuracy
95%+ accuracy improvement over traditional RAG systems
Security
On-device processing ensures zero data egress
NPU Integration Requirements
For optimal performance, the Context Engine leverages Neural Processing Units:- Minimum NPU Requirements: Qualcomm Snapdragon with AI Engine
- Recommended Configuration: Latest generation NPU with 15+ TOPS
- Memory Requirements: 8GB+ system RAM, 4GB+ NPU-accessible memory
- Storage: Local SSD with 100GB+ available space for indexing
Deployment Considerations
Enterprise Deployment Process
Integration Requirements
- API Access: RESTful API endpoints for integration
- Authentication: Enterprise SSO and JWT-based authentication
- Webhooks: Real-time notifications for task completion
- Monitoring: Comprehensive logging and performance metrics
- Backup: Automated backup and disaster recovery